Journal ArticleDOI
Executing production schedules in the face of uncertainties: a review and some future directions
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TLDR
The literature on executing production schedules in the presence of unforeseen disruptions on the shop floor is reviewed, and a taxonomy of the different types of uncertainty faced by scheduling algorithms is provided.About:
This article is published in European Journal of Operational Research.The article was published on 2005-02-16. It has received 678 citations till now. The article focuses on the topics: Production schedule & Production planning.read more
Citations
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Journal ArticleDOI
Flexible flow shop scheduling with stochastic processing times: A decomposition-based approach
S. H. Choi,Kai Wang +1 more
TL;DR: A novel decomposition-based approach (DBA) is presented, which combines both the shortest processing time (SPT) and the genetic algorithm (GA) to minimizing the makespan of a flexible flow shop (FFS) with stochastic processing times.
Journal ArticleDOI
A multi-objective evolutionary algorithm guided by directed search for dynamic scheduling
Dujuan Wang,Feng Liu,Yaochu Jin +2 more
TL;DR: Experimental results demonstrate that the proposed directed search strategy (DSS) is effective in handling the dynamic scheduling problems under investigation, under the assumption that jobs can be rejected and job processing time is controllable.
Journal ArticleDOI
Reactive scheduling framework based on domain knowledge and constraint programming
TL;DR: This contribution presents a support framework, aimed at addressing the repair-based reactive scheduling problem, based on an explicit object-oriented domain representation and a constraint programming (CP) approach.
Journal ArticleDOI
The complexity of machine scheduling for stability with a single disrupted job
Roel Leus,Willy Herroelen +1 more
TL;DR: The purpose of this paper is to investigate the complexity status of a number of machine scheduling problems with stability objective when the duration of a single job is anticipated to be disrupted.
Journal ArticleDOI
Real-time production planning and control system for job-shop manufacturing: A system dynamics analysis
TL;DR: This work proposes a comprehensive real-time PPC system for arbitrary capacitated job-shop manufacturing by integrating production ordering and batch sizing control mechanisms into a dynamic model, and adopts a system dynamics (SD) approach which is proved to be appropriate for studying the dynamic behavior of complex manufacturing systems.
References
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Journal ArticleDOI
Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information
TL;DR: In this article, the authors quantify the effect of the bullwhip effect on simple two-stage supply chains consisting of a single retailer and a single manufacturer and demonstrate that the effect can be reduced by centralizing demand information.
Journal ArticleDOI
The Shifting Bottleneck Procedure for Job Shop Scheduling
TL;DR: An approximation method for solving the minimum makespan problem of job shop scheduling by sequences the machines one by one, successively, taking each time the machine identified as a bottleneck among the machines not yet sequenced.
Book
Robust Discrete Optimization and Its Applications
TL;DR: This paper presents four approaches to handle Uncertainty in Decision Making using a Robust Discrete Optimization Framework and results show how these approaches can be applied to real-world problems.
Book
An algorithm for the computer control of a flexible manufacturing system
TL;DR: In this paper, a multilevel hierarchical control algorithm is proposed which involves a stochastic optimal control problem at the first level, and optimal production policies are characterized, and a computational scheme is described.
Journal ArticleDOI
An Algorithm for the Computer Control of a Flexible Manufacturing System
TL;DR: A multilevel hierarchical control algorithm is proposed which involves a stochastic optimal control problem at the first level of the system and a computational scheme is described.
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